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Found 3 papers, 3 papers with code
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images
In response, we investigate guiding the prompting procedure in SAM for weakly supervised cell segmentation when only bounding box supervision is available.
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in medical images, due to the limited data, presence of tiny overlapping objects, multiple cell types, severe class-imbalance, minute differences in size/shape of cells, etc.
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
Therefore we cast the skin segmentation problem as that of target-independent Unsupervised Domain Adaptation (UDA) where we use the data from the Red-channel of the visible-range to develop skin segmentation algorithm on NIR images.
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